Gm Global Technolgoy Operations, Inc.

Yadollah Sabri

Nikolai K Moshchuk

Paul A Adam

Qingrong Zhao

Robert Charles Baraszu

Qi Zhang

Dmitriy Feldman

Joseph R Abrash

Steven T Schweitzer

Yingmei Si

Simon E Zimmerman

A method for controlling operation of a motor vehicle includes an electronic controller receiving, e.g., from a vehicle-mounted sensor array, sensor data with dynamics information for a target vehicle and, using the received sensor data, predicting a lane assignment for the target vehicle on a road segment proximate the host vehicle. The electronic controller also receives map data with roadway information for the road segment; the controller fuses the sensor and map data to construct a polynomial overlay for a host lane of the road segment across which travels the host vehicle. A piecewise linearized road map of the host lane is constructed and combined with the predicted lane assignment and polynomial overlay to calculate a lane assignment for the target vehicle. The controller then transmits one or more command signals to a resident vehicle system to execute one or more control operations using the target vehicle's calculated lane assignment.

Automated driving systems and control logic for lane localization of target objects in mapped environments

Methods and systems are provided for determining a road surface friction coefficient and controlling a feature of the vehicle based thereon. In one embodiment, a method includes: receiving signals from an electronic power steering system and an inertial measurement unit; estimating parameters associated with an electronic power steering system model using an iterative optimization method; calculating an electronic power steering system variable using the electronic power steering system model, the estimated parameters and one or more of the received signals; determining whether the calculated electronic power steering system variable satisfies a fitness criterion; and when the calculated electronic power steering system variable does satisfy the fitness criterion, determining a road surface friction coefficient based on at least one of the estimated parameters.

Methods and systems for estimating road surface friction

Systems and methods for independently estimating a road surface friction coefficient value and a vehicular lateral velocity value are provided. In one example, the system includes: a self-aligning torque coefficient estimating module configured to obtain sensor signals from an electronic power steering (EPS) system and an inertial measurement unit and estimate a first self-aligning torque coefficient value based on the sensor signals using a recursive least square algorithm; a road surface friction coefficient value estimating module configured to obtain the estimated first self-aligning torque coefficient value and estimate a first road surface friction coefficient value based on the estimated first self-aligning torque coefficient value; and a feature control module configured to generate one or more control signals configured to control features of a vehicle based on the estimated first road surface friction coefficient value.

Systems and methods for estimating a road surface friction coefficient and vehicle lateral velocity using a decoupled dynamical model

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Sterling Heights, MI, United States of America

Yadollah Sabri